Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 38,551 to 38,560 of 223,469 articles

Deep convolutional neural networks for age and gender estimation using orthopantomogram images: a systematic review.

Evidence-based dentistry
OBJECTIVE: The primary goal of this systematic review is to critically analyze and evaluate how effectively deep convolutional neural networks (CNNs) can estimate age and gender from orthopantomogram (OPG) images. OPG images, commonly known as panora... read more 

A generalizable deep learning system for cardiac MRI.

Nature biomedical engineering
Cardiac MRI allows for a comprehensive assessment of myocardial structure, function and tissue characteristics. Here we describe a foundational vision system for cardiac MRI, capable of representing the breadth of human cardiovascular disease and hea... read more 

Human microphysiological systems of aging recreate the in vivo process expediting evaluation of anti-geronic strategies.

Nature biomedical engineering
The search for biological mechanisms of human aging is stalled by a lack of suitable models, and it remains unknown whether and to what degree rejuvenation reported in rodents translates to people. Here we report a human induced pluripotent stem cell... read more 

TRACER: a reliability-first GemNet baseline for trustworthy computational materials discovery.

Scientific reports
Computational materials discovery is increasingly driven by graph neural networks (GNNs); however, deployment is constrained by uncertain robustness and inadequately validated uncertainty quantification (UQ). The ALIGNN, MACE, and Open Catalyst model... read more 

Explainable machine learning for long-term cardiovascular disease risk prediction in Chinese middle-aged and older adults: a 9-year longitudinal cohort study with web-based risk calculator.

Scientific reports
Cardiovascular disease represents the leading cause of mortality in China, accounting for over 40% of all deaths. Existing risk prediction models predominantly derive from Western populations, rendering them suboptimally calibrated for the Chinese mi... read more 

Assessing ChatGPT and Gemini Responses to Common Patient Questions Regarding Augmentation Mammaplasty.

Aesthetic plastic surgery
BACKGROUND: Large language models (LLMs) are becoming a common source of medical information for patients. OBJECTIVE: This study aimed to evaluate and compare the quality and readability of ChatGPT and Google's Gemini in answering frequently asked qu... read more 

Advanced imaging techniques for tumor intraoperative navigation imaging.

Npj imaging
Cancer remains a leading cause of mortality and morbidity, with surgical resection being a fundamental element of treatment. However, early detection and precise tumor resection are critical for improving survival and minimizing recurrence. Conventio... read more 

Spatial-temporal graph neural network with autoencoder pretraining for intrusion detection in healthcare IoT ecosystems.

Scientific reports
The integration of Internet of Things (IoT) technologies in healthcare has enabled continuous patient monitoring and intelligent clinical decision-making but has also exposed critical infrastructures to sophisticated cyber threats. Traditional intrus... read more